How to Use the Fire Safety Calculator MCP in LlamaIndex
Index mandatory compliance rules for deep search with LlamaIndex's Fire Safety Calculator integration.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fire Safety Calculator MCP to LlamaIndex
Create your Vinkius account to connect Fire Safety Calculator to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Key Capabilities
Search path compliance data.
When you run `calculate_max_walking_distance`, the resulting compliance status and violation details get indexed into your vector store. You can then query past reports to quickly check historical adherence. This means if a building undergoes modifications, you don't have to re-run every calculation. You just search your knowledge base for previous findings related to distance violations.
Retrieve stair design recommendations.
Need a quick answer on minimum required width? Use `determine_min_stair_width` and store the resulting safe design recommendation. LlamaIndex lets you query this against new building plans, grounding your answers in actual code data. The output includes population ratio details and safety buffers, making these highly specific facts perfect for a searchable knowledge base.
Check fire equipment placement rules.
After running `specify_extinguisher_requirement`, the compliance notes—which detail distribution by type (A, B, C)—become part of your indexed resource. You can combine this with other documentation for a unified safety guide. The developer builds RAG applications where live API data and static documents mix into one queryable index.
Set up Fire Safety Calculator MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Fire Safety Calculator MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Fire Safety Calculator tools.",
)
response = await agent.run("List recent Fire Safety Calculator data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fire Safety Calculator API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Fire Safety Calculator MCP in LlamaIndex
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